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Learning Path Recommendation Method Based on Knowledge Map

Learning Path Recommendation Method Based on Knowledge Map
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Author(s): Xiaodong Zhou (Tianjin University, China), Yi Li (Tianjin University, China), Liping Yuan (Tianjin University, China), Gaofeng Ma (Tianjin University, China), Xinyun Tan (Tianjin University, China), Kaihua Zhang (Tianjin University, China), Lijiao Gong (Tianjin University, China) and Boxiang Jia (Tianjin University, China)
Copyright: 2020
Pages: 14
Source title: Handbook of Research on Managerial Practices and Disruptive Innovation in Asia
Source Author(s)/Editor(s): Patricia OrdoƱez de Pablos (University of Oviedo, Spain), Xi Zhang (Tianjin University, China) and Kwok Tai Chui (The Open University of Hong Kong, Hong Kong)
DOI: 10.4018/978-1-7998-0357-7.ch009

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Abstract

With the development of society, many industries and professions are more comprehensive and intersecting. Different industries have their own requirements for students with comprehensive backgrounds. For graduates, they may not know the skills required for various occupations, or what kind of jobs and occupations they can take based on their existing knowledge and skills, even how to acquire these abilities after they know the requirements of the jobs they want. In this chapter, authors combine the existing method to predict hot jobs with the analysis of knowledge map, aiming to achieve accurate recommendation of learning path for those who want to find a job. This chapter will help job hunters gradually master skills, and ultimately achieve the goal of optimizing resource allocation and saving social resources.

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